AgileEngine is an innovative company that creates award-winning software for leading brands and startups across various industries. We rank among the leaders in areas like application development and AI / ML, and our people-first culture has earned us multiple Best Place to Work awards. If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you. Key Responsibilities - Craft end-to-end GTM plans for new AI features, including segmentation, value propositions, positioning, and launch KPIs; Create enablement toolkits that empower brand and regional teams to launch consistently and at scale. - Act as the connective tissue between Product, Data Science, Enterprise Marketing Technology, Creative, and Brand teams to ensure AI features are fit-for-purpose and brand-right; Present recommendations and results to senior leadership and influence investment and prioritization decisions. - Drive executional rigor by transforming strategic AI initiatives into concrete workplans with clear owners, timelines, and KPIs—ensuring pilots quickly move from test to scale; Champion MVP thinking and fast-cycle experimentation to accelerate feature deployment, reduce time-to-value, and continuously refine AI-driven experiences based on real user feedback. - Track emerging AI trends and competitive benchmarks, translating insights into opportunity assessments and POVs. - Define success metrics and test-and-learn roadmaps to iteratively improve adoption, engagement, and conversion of AI experiences; Partner with Product and Data Science to surface actionable insights and feed them back into roadmaps. Requirements - 5+ years in product marketing, growth marketing, or digital product management with at least 2 years focused on AI / ML-driven products; Demonstrated success launching or scaling AI-powered experiences that delivered material lifts in revenue, AOV, CVR, or LTV; - Working knowledge of common AI techniques and how they translate into consumer-facing use cases; Strong analytical mindset: comfortable defining KPIs, interpreting experimentation results, and connecting insights to GTM actions; Storytelling prowess: able to distill complex technology into clear narratives, messaging, and training content for non-technical stakeholders; - BA / BS required (MBA or advanced degree in marketing, analytics, or a related field is advantageous); Upper-Intermediate English level.